Journal ArticleDOI
Damage Identification of Frame Structures with Joint Damage under Earthquake Excitation
TLDR
In this article, an algorithm based on a two-step Kalman filter approach is presented for the damage detection of frame structures with joint damage under earthquake excitation using partial measurements of structural acceleration responses.Abstract:
Previous damage detection of frame structures mainly focuses on the detection of beam and column element damage. It has been shown that beam-column joints in frame structures are more susceptible to damage than the other members in the structure. Joint damage may be represented by the reduction of beam-column connection rigidity. Therefore, damage detection of a frame structure with joint damage includes the identification of joint connection stiffness in additional to those of beam and column stiffness, which involves the difficulty of identifying a large number of unknown structural parameters. In this paper, an algorithm based on a two-step Kalman filter approach is presented for the damage detection of frame structures with joint damage under earthquake excitation using partial measurements of structural acceleration responses. Recursive solutions for unknown structural parameters and structural state vector are derived by a two-step Kalman filter, respectively. Therefore, the number of unknown variab...read more
Citations
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Journal ArticleDOI
Review on the new development of vibration-based damage identification for civil engineering structures: 2010-2019
Rongrong Hou,Yong Xia +1 more
TL;DR: The progress in the area of vibration-based damage identification methods over the past 10 years is reviewed to help researchers and practitioners in implementing existing damage detection algorithms effectively and developing more reliable and practical methods for civil engineering structures in the future.
Journal ArticleDOI
A survey on sensor placement for contamination detection in water distribution systems
TL;DR: A comprehensive literature survey is conducted on the sensor placement problem for contamination detection in WDS, with a special focus on optimization strategies and framework.
Journal ArticleDOI
Data fusion based EKF-UI for real-time simultaneous identification of structural systems and unknown external inputs
TL;DR: In this article, an extended Kalman filter with unknown excitations (EKF-UI) was proposed for real-time simultaneous identification of structural systems and unknown external excitations.
Journal ArticleDOI
Outlier detection and robust regression for correlated data
Ka-Veng Yuen,Gilberto A. Ortiz +1 more
TL;DR: A probabilistic method for outlier detection and robust updating of linear regression problems involving correlated data using the minimum volume ellipsoid method and the maximum trimmed likelihood method is proposed.
Journal ArticleDOI
Structural health monitoring of steel frames using a network of self-powered strain and acceleration sensors: A numerical study
TL;DR: In this article, a hybrid network of piezoelectric strain and acceleration sensors is used to detect and localize both types of damages in steel frames by fitting a Gaussian mixture model (GMM) to the sensors output histograms.
References
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Book
Dynamics of Structures: Theory and Applications to Earthquake Engineering
TL;DR: In this paper, the authors present a single-degree-of-freedom (SDF) system, which is composed of a mass-spring-damper system and a non-viscous Damping Free Vibration (NFV) system.
A review of structural health monitoring literature 1996-2001
TL;DR: An updated review covering the years 1996 2001 will summarize the outcome of an updated review of the structural health monitoring literature, finding that although there are many more SHM studies being reported, the investigators, in general, have not yet fully embraced the well-developed tools from statistical pattern recognition.
A Review of Structural Health Review of Structural Health Monitoring Literature 1996-2001.
TL;DR: Although there are many more SHM studies being reported, the investigators, in general, have not yet fully embraced the well-developed tools from statistical pattern recognition, and the discrimination procedures employed are often lacking the appropriate rigor necessary for this technology to evolve beyond demonstration problems carried out in laboratory setting.
Journal ArticleDOI
Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem Using Simulated Data
TL;DR: The scale-model structure adopted for use in this benchmark problem, and two analytical models based on the structure—one a 12 degree of freedom (DOF) shear-building model, the other a 120-DOF model, both finite element based—are given.
Journal ArticleDOI
An adaptive extended Kalman filter for structural damage identification
TL;DR: In this paper, an adaptive tracking technique based on the extended Kalman filter approach is proposed to identify the structural parameters and their changes when vibration data involve damage events, which is capable of tracking the changes of system parameters from which the event and severity of structural damage may be detected on-line.